You know, this is a conference inspired by nature.

And before I make this talk too

So here's a summary so far

By 2050 though, it could become efficient, connected and distributed with elegantly frugal autos, factories and buildings all relying on a modern, secure and resilient electricity system.

We'll let R do the work.

So you guys got rid of this? gt gt Right.

Dispersion

Variance

So James Surowieki has this idea of the wisdom of crowds, that says that a whole bunch of people are smarter than any individual.

CA But you yourself get a long term commercial benefit from that power.

Energy is all around us, but we don't mean the current coming from the socket in your wall.

We're almost at the correlation matrix.

Maybe you could explain what S3 is an how it works. gt gt Sure.

A monitor for an Icecream compilation network

Distributed Process Launcher

Dispersion samples

Field variance?

That's just dividing by N.

And now I have a variance co variance matrix.

Dispersion of the normal distribution

It's pretty cool.

Because those correlations were based on samples that had a broader range of cognitive ability.

We gotta split them up!

What it amounts to is a giant distributed utility.

So those would be the high peaks of the density field.

If you'll look on your health certificate cards you'll find your type.

So it needs refurbishment.

The mean is now a vector with 1 element for each of the variance.

The way you get that is divide the 6618 by 83. How about the variance?

The solvents in them do that very efficiently.

We're going to use these throughout this entire course are standard deviation and variance.

I'll get rid of my body's excess water.

I feel like taking a walk.

We see that indeed it was, it was 0.6.

That's the same as σ 2 over 2, which means a new variance squared is half of the old one.

Did it touch the bone?

And I want to show you one of our tests.

Now this looks a little bit wild, and this is probably the worst formula you've encountered in this class in terms of complexity but once you dived in, you'll realize this is really related to a lot of stuff you've seen before such as variances and similar.

And here are some velocity profiles of elliptical galaxies.

No, that's not it.

Power is multi polar.

It moves on average by 1 to the right so the mean is going to be 1.

Besides, the stainlesssteel construction made the flux dispersal

There are 4 possibilities 0 and 0, 1 and 0, 0 and 1, and 1 and 1.

What I want to do in this video is to generalize it.